Research on SDG fault diagnosis of ocean shipping boiler system based on fuzzy granular computing under data fusion

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.

Abstract

The research work in this paper belongs to the application of granular computing, graph theory and its application in fault detection and diagnosis. It is a cross cutting and frontier research field in computer science, information science and graph theory. The results of this paper are of great significance to the application of the fault detection and diagnosis of the ocean boilers system. This research combines granular computing theory and signed directed graph, and proposes a new method of fault diagnosis, and applies it to the fault diagnosis of ocean ship boiler system.

Cite

CITATION STYLE

APA

Zhu, Y., & Geng, L. (2018). Research on SDG fault diagnosis of ocean shipping boiler system based on fuzzy granular computing under data fusion. Polish Maritime Research, 25, 92–97. https://doi.org/10.2478/pomr-2018-0079

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free